First order correlation function and power spectrum
The luminescence spectrum of the system through the emission of one of
the dots,
, requires the
correlator
in
Eq. (2.75). Let us write the quantum regression formula for the
most general set of
operators
,
with
,
,
,
. The regression matrix
is
defined by:
and zero everywhere else.
Figure 4.2:
Chain of
correlators--indexed by
--linked by the
Hamiltonian dynamics with pump and decay for two coupled 2LS. On the
left (resp., right), the
set
(resp.,
) involved in the equations of the
two-time (resp., single-time) correlators. In green are shown the
first manifolds
and
that
correspond to the LM (see Fig. 3.2), and
in blue, the second manifold
and
. The equation of motion
with
requires for its initial value the
correlator
with
defined
from
by
,
as seen on the diagram. The thick red arrows indicate which elements
are linked by the coherent (SC) dynamics, through the coupling
strenght
, while the green/blue thin arrows show the connections
due to the incoherent QD pumpings. The sense of the arrows indicates
which element is ``calling'' which in its equations. The
self-coupling of each node to itself is not shown. This is
where
and
enter. These links are
obtained from the rules in Eqs. (4.4),
that result in the matrices
and
. The
number of correlators needed to compute the spectrum is truncated
naturally (with four elements) thanks to the saturation of the
2LSs.
![\includegraphics[width=0.8\linewidth]{chap4/manifolds/Fig6.ps}](img1045.png) |
For the computation of the spectrum, we need two more correlators and
equations than in the two coupled HOs (see
Fig. 3.2). In
Fig. 4.2 we can see a schema of this
finite set of correlators (left) and mean values (right), labelled
with the indices
. The coherent
(through
) and incoherent (through
) links between the
various correlators, given by the regression matrix, are shown with
arrows (see a detailed explanation of the figure in the
caption). Thanks to the saturation of both modes, being 2LSs, we
obtain a simple equation,
 |
(4.5) |
for the correlators
 |
(4.6) |
with the matrix
 |
(4.7) |
At low excitation, this system is reduced to the LM, where only the
first two correlators and columns/rows of
remain. The
general solution (for positive
),
, leads to
a correlator of the form:
 |
(4.8) |
The coefficients
and
depend on the dynamics of the
mean values,
 |
(4.9) |
Here, we have introduced some notation in order to highlight the
meaning of each
quantity:
(for
) are the probabilities of having each dot excited (1 or
2), independently of the other dot's state.
is the
joint probability that both dots are excited:
 |
(4.10) |
If the QDs were uncoupled, we would
have
. The quantity
is the coherence
between the dots due to the direct coupling. The third mean value of
vector
,
, is zero due to
the fact that each dot can only host one exciton at a time and,
therefore,
. This simplifies the algebra
as only three elements of the first row in
matrix
need to be computed in order to obtain
the correlator of Eq. (4.8).
Note that
is also the population of state
(see
Fig. 4.1). The population of the
intermediate state
, and also the probabilities of having
only dot
excited, is given by
. The population of
the ground state is given by
. The last
interesting averages are the excitation of each dot,
or
,
and the total excitation in the system,
.
In order to insert these average quantities in the expression for the
spectrum, they must be either time integrated in the SE case to give
(and the
coefficients
) or computed directly
in the SS to give
(and the coefficients
). The normalized spectra for the
direct emission of dot
follows from our general expression as:
![$\displaystyle S_1(\omega)=\frac1{\pi}\sum_{p=1}^4\left[L_p\frac{\frac{\gamma_p}...
...{\omega-\omega_p}{\big(\frac{\gamma_p}{2}\big)^2+(\omega-\omega_p)^2}\right]\,,$](img1075.png) |
(4.11) |
with
,
being the normalized coefficients in
the SE or SS case.
Subsections
Elena del Valle
©2009-2010-2011-2012.